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EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets

Overview of attention for article published in Frontiers in Neuroinformatics, January 2012
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1 X user

Citations

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7 Dimensions

Readers on

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53 Mendeley
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Title
EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets
Published in
Frontiers in Neuroinformatics, January 2012
DOI 10.3389/fninf.2012.00017
Pubmed ID
Authors

Kay A. Robbins

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 1 2%
Sweden 1 2%
Switzerland 1 2%
Japan 1 2%
Belgium 1 2%
Unknown 46 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 13 25%
Professor > Associate Professor 9 17%
Other 3 6%
Professor 3 6%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Neuroscience 9 17%
Psychology 8 15%
Engineering 8 15%
Computer Science 5 9%
Agricultural and Biological Sciences 5 9%
Other 10 19%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2017.
All research outputs
#18,547,867
of 22,971,207 outputs
Outputs from Frontiers in Neuroinformatics
#626
of 752 outputs
Outputs of similar age
#197,273
of 245,331 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#21
of 24 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 752 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 245,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.